Find AI Tools
AI Experiments AI screenshot

What is AI Experiments AI?

AI Experiments by Google Labs is a collection of interactive, browser-based projects that demonstrate how artificial intelligence works in practice. Each experiment lets you try AI techniques like machine learning, neural networks, and generative models without needing coding knowledge or specialist hardware. The projects are open source, so you can inspect the code, modify experiments, and build on them for your own work. This makes it useful for students learning about AI, designers exploring creative applications, developers prototyping ideas, and anyone curious about what modern AI can actually do rather than what marketing claims it can do.

Key Features

Interactive web-based experiments

Run AI models directly in your browser with immediate visual feedback

Open-source code

Access and modify the source code for every experiment to understand how it works

No setup required

Start experimenting immediately without installing software or configuring environments

Visual demonstrations

See machine learning, image generation, and other AI concepts in action with clear examples

Educational focus

Experiments are designed to teach AI principles, not to be production tools

Pros & Cons

Advantages

  • Free and accessible to everyone with a web browser
  • Learn by doing rather than reading documentation
  • Inspect and modify source code to deepen understanding
  • No account creation or login required for most experiments
  • Updated regularly with new AI techniques and demonstrations

Limitations

  • Experiments are educational prototypes, not production-ready tools for real-world work
  • Limited customisation options compared to dedicated AI platforms
  • Performance depends on your browser and device capabilities

Use Cases

Learning how machine learning, neural networks, and AI models actually work

Teaching AI concepts to students in a classroom setting

Exploring creative applications like style transfer or generative art

Prototyping ideas before building them in dedicated AI frameworks

Understanding Google's AI research through interactive examples